Award Data

This Phase 1 SBIR program will result in a proof of concept the Prosthetic Smart Auto-Alignment Tool or ProSAT, which addresses the need to facilitate rapid, accurate, controllable adjustment of the physical alignment of the prosthesis. We are proposing a novel approach to the problem by creating a hybrid sensor and smart tool system that is nearly universally applicable to existing modular prosth ...

This proposal presents a non-invasive device to reduce, and control, intracranial pressure in the event of a traumatic brain injury (TBI). The device is compact, rugged, light, and easily transported by medics or civilian first responders in the field.

In an effort to development more robust optical system coatings DTRA, in collaboration with Sandia National Labs, is working to characterize the degradation of optical materials for space systems when exposed to high intensely EUV/ cold x-rays. The experiments utilizes the Double Eagle z-pinch facility which generates high current, high voltage arc pinch plasma to produce an intense EUV and cold x ...

Traditional weapon systems often fail to meet the requirements of close combat typical of the previously discussed engagement, where insurgents often blend in or store weapon amongst friendly or non-combatant forces, to shield them from precision strike munitions of a technologically superior force. This type of warfare has led to an increased focus on the use of less-lethal weapons, to reduce let ...

"Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...